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Per Scholas

Technical Instructor (AWS Machine Learning)

United StatesmidAdded 1 month ago

About this role

Per Scholas is looking for a part-time AWS Machine Learning instructor who will deliver training and support for students pursuing careers in AI and machine learning. The role requires strong technical and instructional abilities, along with a focus on student achievement and curriculum maintenance.

What you'll do

  • Conduct instructor-led training for AI and Machine Learning on AWS
  • Administer assessments and provide one-on-one tutoring
  • Monitor and evaluate student progress regularly
  • Maintain and update course materials and student records
  • Identify student needs and create individualized achievement plans

What they're looking for

  • 1-3 years of teaching or training experience
  • Strong technical background in AWS tools
  • Ability to communicate effectively in digital and in-person settings
  • Proficiency in ML development and tools like Amazon SageMaker
  • Knowledge of data engineering and MLOps orchestration
  • Understanding of security and governance in AWS
  • Certification as AWS Certified Machine Learning Engineer or Data Engineer

Benefits

  • $65/hour compensation
  • Flexible part-time schedule
  • Opportunity to impact students' careers
  • Remote work options available
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Per Scholas

Per Scholas develops technical training and curriculum for entry-level learners in high-demand fields including cloud computing, AI/machine learning, DevOps, ERP systems, and semiconductor manufacturing. The company is hiring technical curriculum developers and instructors to design courses, deliver training, and support student success in skilled trades and technology careers.

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Likely interview questions

  • Walk us through your experience with Amazon SageMaker and AWS Bedrock—how have you used these tools in production ML projects, and how would you explain their differences to students?
  • Describe your hands-on experience building and deploying ML pipelines using AWS Step Functions or SageMaker Pipelines. What challenges did you encounter, and how would you teach that to entry-level students?